Deadline extended!

Interested in foundation models for brain MRI? You still have time to participate in the FOMO25 Challenge! Deadline has been extended until August 31, 2025.

To get started, check out:

🌍 website: fomo25.github.io
💻 code: lnkd.in/d8W8k9aV
🤗 checkpoints: lnkd.in/dZESityQ

Organized by researchers from @aicentre.dk @ucph.bsky.social @mghmartinos.bsky.social @harvardmed.bsky.social @bispebjerghospital.bsky.social
@stefanocerri.bsky.social @asbjornmunk.bsky.social @peirong26.bsky.social

🇰🇷 Join us for a half-day workshop in South Korea #MICCAI2025!

Read more about the challenge and signup on:

➡️ fomo25.github.io

🤗: huggingface.co/datasets/FOMO25/FOMO-MRI
💻: github.com/fomo25/baseline-codebase

💻 Comprehensive Code-Release

Participants are provided with a baseline framework to carry out both pretraining and finetuning, enabling them to concentrate on specific components of the workflow.

🔥 Few-shot Evaluation on Clinical Data

Both tracks will be evaluated on three few-shot and out-of-domain tasks on clinical data: infarct detection, meningioma segmentation, and brain age estimation.

No restrictions on fine-tuning method.

🎉 Two submission tracks: "Methods" and "Open"

1️⃣: Train a model on FOMO-60K and competebest pretraining method.

2️⃣: Train a foundation model on any combination of data (both public and private) and showcase your foundation model with no restrictions.

💿 Large-scale Dataset

We release FOMO-60K, a large-scale dataset of 60,529 brain MRI from diverse set of resources, including clinical scans!

Dataset has been skull-stripped, co-registered and RAS-oriented, making it straightforward to start pretraining on.

Available on 🤗

FOMO25 accepted at #MICCAI2025! 🚀

Excited to announce the first challenge at MICCAI focusing on the development of self-supervised pretraining of foundation models for brain MRI! 🧠

With access to a large-scale dataset, codebase, cash prices and multiple tracks.

Read more ⬇️